Animated chat presence

ABSTRACT

The present invention relates to a method for generating and causing display of a communication interface that facilitates the sharing of emotions through the creation of 3D avatars, and more particularly with the creation of such interfaces for displaying 3D avatars for use with mobile devices, cloud based systems and the like.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to mobile computing technology and, more particularly, but not by way of limitation, to systems for generating and presenting a graphical user interfaces that include avatars associated with users.

BACKGROUND

Increased prevalence of mobile devices has resulted in “social networking” to become an important part in the day-to-day activities of many people's lives. Today, hundreds of millions of people use their virtual identities to communicate and interact with other people over the web, internet and the like via Social networking sites. In addition, these virtual identities are used to play games over the web, internet and the like.

While social networking provides the ability for contact between people any time of day or night, it is often difficult to ascertain exactly how people are feeling by looking at their virtual identity, or through reading text messages alone. An improvement to existing social networking sites would therefore be a means to facilitate the conveyance of moods, feelings, sentiments etc. can be made available via the web, Internet and the like.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced.

FIG. 1 is a block diagram showing an example messaging system for exchanging data (e.g., messages and associated content) over a network in accordance with some embodiments, wherein the messaging system includes a chat presence system.

FIG. 2 is block diagram illustrating further details regarding a messaging system, according to example embodiments.

FIG. 3 is a block diagram illustrating various modules of a chat presence system, according to certain example embodiments.

FIG. 4 is a flow diagram depicting operations of the chat presence system in generating a 3D avatar based on image data, according to certain example embodiments.

FIG. 5 is a depiction of a communication interface that includes a presentation of a 3D avatar generated by the chat presence system, according to certain example embodiments.

FIG. 6 is a flowchart illustrating a method for generating an animated 3D avatar, according to certain example embodiments.

FIG. 7 is a flowchart illustrating a method for generating an animated 3D avatar, according to certain example embodiments.

FIG. 8 is a flowchart illustrating a method for generating an animated 3D avatar, according to certain example embodiments.

FIG. 9 is a block diagram illustrating a representative software architecture, which may be used in conjunction with various hardware architectures herein described and used to implement various embodiments.

FIG. 10 is a block diagram illustrating components of a machine, according to some example embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein.

DETAILED DESCRIPTION

The present invention relates to a method for generating and causing display of a communication interface that facilitates the sharing of emotions through the creation of 3D avatars and their interactions, and more particularly with the creation of such avatars for use with mobile devices, cloud based systems and the like.

For example, a “chat presence system” may generate and display a communication interface to display chat presence indicators that include 3D avatars associated with user devices, by performing operations that include detecting an initiation of a communication session between mobile devices (e.g., a chat request, a text message, etc.), causing display of the communication interface at the mobile devices in response to the initiation of the communication session, wherein the communication interface includes a presentation of a 3D avatar associated with each user engaged in the communication session. The mobile devices capture image data via integrated cameras, and based on the image data, animate the presentations of the 3D avatars to mimic, or otherwise convey facial expressions of users of the mobile devices.

The chat presence system activates a camera (e.g., a front facing camera) of a first mobile device (among the mobile devices engaging in the communication session) in response to detecting the initiation of the communication session between the first mobile device and at least a second mobile device. The front facing camera of the first mobile device captures image data (e.g., pictures, video data) in real time, and generates a mesh representation of a face of the user based on the image data. The chat presence system may thereby animate the 3D avatar associated with the user of the first client device within the communication interface, based on the mesh representation.

In some example embodiments, the mesh representation of the face of the user includes an indication of a point of gaze of the user, wherein the point of gaze represents a direction in which the user is looking. For example, the chat presence system may perform eye tracking techniques, such as optical tracking, by reflecting infrared light from the eyes of the user, capturing the reflected infrared light by a front-facing camera, and analyzing the reflected light to extract and determine point of gaze information based on the change in reflections. The chat presence system animates the 3D avatar associated with the user, for example by rotating an orientation of the 3D avatar, or moving a pair of eyes of the 3D avatar, based on the point of gaze information from the mesh representation.

In some example embodiments, the animating the 3D avatar may include causing the 3D avatar to mimic facial movements of a user, based on the mesh representation of the face of the user. For example, as a user moves their head, and changes facial expressions, the chat presence system generates the mesh representation of the user's face in real time, and animates the 3D avatar associated with the user based on the mesh representation. In this way, the 3D avatar may smile, frown, nod to indicate a “yes,” or shake to indicate a “no,” or turn/look in any direction along with the user.

In some example embodiments, the chat presence system captures audio data at a client device, and presents the audio data through the communication interface at the one or more mobile devices engaged in the communication session. For example, the chat presence system may activate a microphone of the client device in response to detecting a mouth of the user moving, based on the mesh representation.

The presenting of the audio data may include playing the audio data at the one or more mobile devices, and/or transcribing the audio data to a text string, and causing display of a text bubble that includes the text string within the communication interface, wherein the text bubble comprises a speech indicator extending from the 3D avatar.

In some example embodiments, the chat presence system displays the communication interface at a set of client devices, and display a 3D avatar for each user engaged in the communication session, in response to detecting the user joining the communication session. Consider the following illustrative example from a user perspective. A user of a first client device transmits a communication request to at least a second client device. A user of the second client device accepts the communication request, and in response, a communication interface is generated and displayed at the first client device and the second client device, wherein the communication interface at the first client device includes a presentation of a 3D avatar associated with the user of the second client device, and the communication interface presented at the second client device includes a presentation of a 3D avatar associated with the user of the first client device. As additional users join the communication session, the chat presence system generates and causes display of 3D avatars of the additional users within the communication interface. In this way, the 3D avatar functions as a “chat presence” of a user, to represent a user's presence in the communication session. Similarly, as users leave the communication session, or deactivate a camera that captures image data, the chat presence system removes a corresponding 3D avatar from the communication interface, and reconfigured the presentation of the remaining 3D avatars within the communication interface.

FIG. 1 is a block diagram showing an example messaging system 100 for exchanging data (e.g., messages and associated content) over a network. The messaging system 100 includes multiple client devices 102, each of which hosts a number of applications including a messaging client application 104. Each messaging client application 104 is communicatively coupled to other instances of the messaging client application 104 and a messaging server system 108 via a network 106 (e.g., the Internet).

Accordingly, each messaging client application 104 is able to communicate and exchange data with another messaging client application 104 and with the messaging server system 108 via the network 106. The data exchanged between messaging client applications 104, and between a messaging client application 104 and the messaging server system 108, includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality via the network 106 to a particular messaging client application 104. While certain functions of the messaging system 100 are described herein as being performed by either a messaging client application 104 or by the messaging server system 108, it will be appreciated that the location of certain functionality either within the messaging client application 104 or the messaging server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the messaging server system 108, but to later migrate this technology and functionality to the messaging client application 104 where a client device 102 has a sufficient processing capacity.

The messaging server system 108 supports various services and operations that are provided to the messaging client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by the messaging client application 104. In some embodiments, this data includes, message content, client device information, geolocation information, media annotation and overlays, message content persistence conditions, social network information, and live event information, as examples. In other embodiments, other data is used. Data exchanges within the messaging system 100 are invoked and controlled through functions available via GUIs of the messaging client application 104.

Turning now specifically to the messaging server system 108, an Application Program Interface (API) server 110 is coupled to, and provides a programmatic interface to, an application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the application server 112.

Dealing specifically with the Application Program Interface (API) server 110, this server receives and transmits message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the Application Program Interface (API) server 110 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the messaging client application 104 in order to invoke functionality of the application server 112. The Application Program Interface (API) server 110 exposes various functions supported by the application server 112, including account registration, login functionality, the sending of messages, via the application server 112, from a particular messaging client application 104 to another messaging client application 104, the sending of media files (e.g., images or video) from a messaging client application 104 to the messaging server application 114, and for possible access by another messaging client application 104, the setting of a collection of media data (e.g., story), the retrieval of a list of friends of a user of a client device 102, the retrieval of such collections, the retrieval of messages and content, the adding and deletion of friends to a social graph, the location of friends within a social graph, opening and application event (e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications and subsystems, including a messaging server application 114, an image processing system 116, a social network system 122, and a chat presence system 124. The messaging server application 114 implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of content (e.g., textual and multimedia content) included in messages received from multiple instances of the messaging client application 104. As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available, by the messaging server application 114, to the messaging client application 104. Other processor and memory intensive processing of data may also be performed server-side by the messaging server application 114, in view of the hardware requirements for such processing.

The application server 112 also includes an image processing system 116 that is dedicated to performing various image processing operations, typically with respect to images or video received within the payload of a message at the messaging server application 114.

The social network system 122 supports various social networking functions services, and makes these functions and services available to the messaging server application 114. To this end, the social network system 122 maintains and accesses an entity graph 304 within the database 120. Examples of functions and services supported by the social network system 122 include the identification of other users of the messaging system 100 with which a particular user has relationships or is “following,” and also the identification of other entities and interests of a particular user.

The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the messaging server application 114.

FIG. 2 is block diagram illustrating further details regarding the messaging system 100, according to example embodiments. Specifically, the messaging system 100 is shown to comprise the messaging client application 104 and the application server 112, which in turn embody a number of some subsystems, namely an ephemeral timer system 202, a collection management system 204 and an annotation system 206.

The ephemeral timer system 202 is responsible for enforcing the temporary access to content permitted by the messaging client application 104 and the messaging server application 114. To this end, the ephemeral timer system 202 incorporates a number of timers that, based on duration and display parameters associated with a message, collection of messages (e.g., a SNAPCHAT story), or graphical element, selectively display and enable access to messages and associated content via the messaging client application 104. Further details regarding the operation of the ephemeral timer system 202 are provided below.

The collection management system 204 is responsible for managing collections of media (e.g., collections of text, image video and audio data). In some examples, a collection of content (e.g., messages, including images, video, text and audio) may be organized into an “event gallery” or an “event story.” Such a collection may be made available for a specified time period, such as the duration of an event to which the content relates. For example, content relating to a music concert may be made available as a “story” for the duration of that music concert. The collection management system 204 may also be responsible for publishing an icon that provides notification of the existence of a particular collection to the user interface of the messaging client application 104.

The collection management system 204 furthermore includes a curation interface 208 that allows a collection manager to manage and curate a particular collection of content. For example, the curation interface 208 enables an event organizer to curate a collection of content relating to a specific event (e.g., delete inappropriate content or redundant messages). Additionally, the collection management system 204 employs machine vision (or image recognition technology) and content rules to automatically curate a content collection. In certain embodiments, compensation may be paid to a user for inclusion of user generated content into a collection. In such cases, the curation interface 208 operates to automatically make payments to such users for the use of their content.

The annotation system 206 provides various functions that enable a user to annotate or otherwise modify or edit media content associated with a message. For example, the annotation system 206 provides functions related to the generation and publishing of media overlays for messages processed by the messaging system 100. The annotation system 206 operatively supplies a media overlay (e.g., a SNAPCHAT filter) to the messaging client application 104 based on a geolocation of the client device 102. In another example, the annotation system 206 operatively supplies a media overlay to the messaging client application 104 based on other information, such as, social network information of the user of the client device 102. A media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, texts, logos, animations, and sound effects. An example of a visual effect includes color overlaying. The audio and visual content or the visual effects can be applied to a media content item (e.g., a photo) at the client device 102. For example, the media overlay including text that can be overlaid on top of a photograph generated taken by the client device 102. In another example, the media overlay includes an identification of a location overlay (e.g., Venice beach), a name of a live event, or a name of a merchant overlay (e.g., Beach Coffee House). In another example, the annotation system 206 uses the geolocation of the client device 102 to identify a media overlay that includes the name of a merchant at the geolocation of the client device 102. The media overlay may include other indicia associated with the merchant. The media overlays may be stored in the database 120 and accessed through the database server 118.

In one example embodiment, the annotation system 206 provides a user-based publication platform that enables users to select a geolocation on a map, and upload content associated with the selected geolocation. The user may also specify circumstances under which a particular media overlay should be offered to other users. The annotation system 206 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geolocation.

In another example embodiment, the annotation system 206 provides a merchant-based publication platform that enables merchants to select a particular media overlay associated with a geolocation via a bidding process. For example, the annotation system 206 associates the media overlay of a highest bidding merchant with a corresponding geolocation for a predefined amount of time

FIG. 3 is a block diagram illustrating components of the chat presence system 124, that configure the chat presence system 124 to detect an initiation of a communication session between mobile devices (e.g., a chat request, a text message, etc.), generate a communication interface at the mobile devices in response to the initiation of the communication session, wherein the communication interface includes a presentation of a 3D avatar associated with each user engaged in the communication session, according to some example embodiments. The chat presence system 124 is shown as including a communication module 302, a display module 304, an image module 306, and an animation module 308, all configured to communicate with each other (e.g., via a bus, shared memory, or a switch). Any one or more of these modules may be implemented using one or more processors 310 (e.g., by configuring such one or more processors to perform functions described for that module) and hence may include one or more of the processors 310.

Any one or more of the modules described may be implemented using hardware alone (e.g., one or more of the processors 310 of a machine) or a combination of hardware and software. For example, any module described of the chat presence system 124 may physically include an arrangement of one or more of the processors 310 (e.g., a subset of or among the one or more processors of the machine) configured to perform the operations described herein for that module. As another example, any module of the chat presence system 124 may include software, hardware, or both, that configure an arrangement of one or more processors 310 (e.g., among the one or more processors of the machine) to perform the operations described herein for that module. Accordingly, different modules of the chat presence system 124 may include and configure different arrangements of such processors 310 or a single arrangement of such processors 310 at different points in time. Moreover, any two or more modules of the chat presence system 124 may be combined into a single module, and the functions described herein for a single module may be subdivided among multiple modules. Furthermore, according to various example embodiments, modules described herein as being implemented within a single machine, database, or device may be distributed across multiple machines, databases, or devices.

FIG. 4 includes a flow diagram 400, depicting visualizations of operations of the chat presence system 124 in generating a 3D avatar based on image data, according to certain example embodiments.

Image 402 is a depiction of a user of a mobile device (e.g., client device 102). In some example embodiments, in response to the communication module 302 detecting an initiation of a communication session between the mobile device and at least one other mobile device, the image module 306 captures the image 402 via a camera. The camera may include a front facing camera integrated into the client device 102, or in some embodiments may include modular, or standalone cameras, or a camera of a separate device. The image 402 may comprise a photograph, or in some embodiments may include real-time video.

The animation module 308 generates the mesh representation 404 based on the image 402. For example, the animation module 308 may access the image 402 in response to the communication module 302 detecting the initiation of the communication session, and parse RGB color values from the image 402, and generate the mesh representation 404 based on the RGB color values. The mesh representation 404 therefore provides a polygon mesh representation of the face, and accordingly facial expressions, of the user.

The animation module 308 generates the 3D avatar 406 based on the mesh representation 404. The 3D avatar 406 may therefore depict facial expressions of the user based on the mesh representation 404. In some embodiments, the 3D avatar 406 may comprise a set of avatar attributes that determine an appearance of the 3D avatar 406. For example, the image module 306 may select a set of avatar attributes from among a database of avatar attributes, based on the image data extracted from the image 402. In further embodiments, a user may select the avatar attributes to configure the 3D avatar 406, and associate the 3D avatar 406 with a user account. The display module 304 may cause display of the 3D avatar 406 at the mobile devices engaged in the communication session.

FIG. 5 is a depiction of a communication interface 500 that includes a presentation of a 3D avatar 502 generated by the chat presence system 124, and a text bubble 504, according to certain example embodiments.

As seen in FIG. 5, the communication interface 500 may be displayed at a group of client devices engaged in a communication session (e.g., a first client device and a second client device). In response to the initiation of the communication session, the display module 302 causes display of the communication interface 500, wherein the communication interface 500 includes a presentation of the 3D avatar 502 at a location within the communication interface 500. In some example embodiments, the chat presence system 124 may transcribe audio received at a client device and display the transcribed audio in the text bubble 504, as described in the method 700 of FIG. 7.

The 3D avatar 502 may convey facial expressions of a user of an associated client device, by the method 600 of FIG. 6. FIG. 6 is a flowchart illustrating a method 600 for generating an animated 3D avatar, according to certain example embodiments. Operations of the method 600 may be performed by the modules described above with respect to FIG. 3. As shown in FIG. 6, the method 600 includes one or more operations 602, 604, 606, 608, and 610.

At operation 602, the communication module 302 detects an initiation of a communication session at a first client device, wherein the communication session is between the first client device and at least a second client device. For example, a user associated with the first client device may join (or request to join) a chat session hosted or engaged by at least the second client device. The chat session may include a video chat, a chat-room, or simply a text conversation among a group of users via associated client devices. The communication module 302 may detect the initiation of the communications session based on a signal received via a graphical user interface.

In response to the communication module 302 detecting the first client device joining or otherwise initiating a communication session with at least the second client device, at operation 604 the display module 304 generates and causes display of a communication interface at the group of client devices, including the first client device and the second client device. The communication interface may comprise a display of messages sent and received by the client devices engaged in the communication session.

At operation 606, the image module 306 captures image data (e.g., the image 402 of FIG. 4) at the first client device, wherein the image data depicts a face of the user, in response to the communication module 302 detecting the initiation of the communication session. The image data may comprise a photograph, or in some embodiments may include real-time video.

In some embodiments, the image module 306 may detect faces within the image data captured by the image module 306, and authenticate the user of the first client device based on facial recognition techniques prior to proceeding to operation 608.

At operation 608, the animation module 308 generates a mesh representation (e.g., mesh representation 404 of FIG. 4) of the face of the user based on the image data, in response to capturing the image data, or in some embodiments, in response to authenticating the user based on the image data. The mesh representation may for example include a polygon mesh that defines a surface, such as the face of the user. In some embodiments, the animation module 308 may generate the mesh representation based on RGB color values parsed from the image data captured by the image module 306.

At operation 610, the display module 304 animates the 3D avatar associated with the first client device within the communication interface, based on the mesh representation of the face of the user. Animating the 3D avatar may include causing the 3D avatar to display facial expressions and gestures of the user, based on the mesh representation of the face of the user.

FIG. 7 is a flowchart illustrating a method 700 for generating an animated 3D avatar, according to certain example embodiments. Operations of the method 700 may be performed by the modules described above with respect to FIG. 3. As shown in FIG. 7, the method 700 includes one or more operations 702, 704, 706, and 708.

At operation 702, the communication module 302 captures audio data at the first client device, wherein the audio data may for example comprise a spoken word or phrase. In some embodiments, the communication module 302 may simply present the audio data via the client devices included in the communication session, while animating the 3D avatar associated with the user of the first client device, giving the appearance of the 3D avatar speaking the audio data.

In further embodiments, at operation 704, the communication module 302 transcribes the audio data to a text string. In some embodiments, the communication module 302 may also translate the text string from one language to another. For example, the communication module 302 may determine a first language associated with the audio data based on a comparison of the audio data to a database of common words or phrases, or based on language preferences of the user associated with the first client device. In some embodiments, the user of the first client device may specify to translate from the first language to a second language. In further embodiments, the communication module 302 may determine a language spoken within the communication session, and translate to the common language.

At operation 706, the display module 304 causes display of a text bubble within the communication interface in response to the communication module 302 capturing the audio data, wherein the text bubble comprises a speech indicator extending from the 3D avatar associated with the user of the first client device. At operation 708, the display module 304 populates the text bubble with the text string transcribed from the audio data.

FIG. 8 is a flowchart illustrating a method 800 for generating an animated 3D avatar, according to certain example embodiments. Operations of the method 800 may be performed by the modules described above with respect to FIG. 3. As shown in FIG. 8, the method 800 includes one or more operations 802, 804, and 806. Operations of the method 800 may be performed as part (e.g., a precursor task, a subroutine, or a portion) of the method 600, according to some example embodiments.

At operation 802, the communication module 302 receives a chat request from a third client device to join the communication session between the first client device and at least the second client device. For example, the first client device and the second client device may be engaged in a video chat or text based chat session, wherein the communication session is displayed within a communication interface at the first and second client devices, and wherein the communication interface includes a presentation of 3D avatars associated with users of the first and second client devices. The third client device may be invited by the first or second client device to join the communication session, or may otherwise request to join the communication session.

At operation 804, in response to the communication module 302 receiving the chat request from the third client device, the display module 304 causes display of a 3D avatar associated with the third client device within the communication interface at the user devices engaged in the communication session.

At operation 806, in response to the third client device joining the communication session, and the display of the 3D avatar associated with the third client device within the communication interface, the display module 304 adjusts a size of the 3D avatars displayed within the communication interface in order to accommodate for the 3D avatar associated with the third client device.

Software Architecture

FIG. 9 is a block diagram illustrating an example software architecture 906, which may be used in conjunction with various hardware architectures herein described. FIG. 9 is a non-limiting example of a software architecture and it will be appreciated that many other architectures may be implemented to facilitate the functionality described herein. The software architecture 906 may execute on hardware such as machine 1000 of FIG. 10 that includes, among other things, processors 1004, memory 1014, and I/O components 1018. A representative hardware layer 952 is illustrated and can represent, for example, the machine 900 of FIG. 9. The representative hardware layer 952 includes a processing unit 954 having associated executable instructions 904. Executable instructions 904 represent the executable instructions of the software architecture 906, including implementation of the methods, components and so forth described herein. The hardware layer 952 also includes memory and/or storage modules memory/storage 956, which also have executable instructions 904. The hardware layer 952 may also comprise other hardware 958.

In the example architecture of FIG. 9, the software architecture 906 may be conceptualized as a stack of layers where each layer provides particular functionality. For example, the software architecture 906 may include layers such as an operating system 902, libraries 920, applications 916 and a presentation layer 914. Operationally, the applications 916 and/or other components within the layers may invoke application programming interface (API) API calls 908 through the software stack and receive a response as in response to the API calls 908. The layers illustrated are representative in nature and not all software architectures have all layers. For example, some mobile or special purpose operating systems may not provide a frameworks/middleware 918, while others may provide such a layer. Other software architectures may include additional or different layers.

The operating system 902 may manage hardware resources and provide common services. The operating system 902 may include, for example, a kernel 922, services 924 and drivers 926. The kernel 922 may act as an abstraction layer between the hardware and the other software layers. For example, the kernel 922 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and so on. The services 924 may provide other common services for the other software layers. The drivers 926 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 926 include display drivers, camera drivers, Bluetooth® drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers, audio drivers, power management drivers, and so forth depending on the hardware configuration.

The libraries 920 provide a common infrastructure that is used by the applications 916 and/or other components and/or layers. The libraries 920 provide functionality that allows other software components to perform tasks in an easier fashion than to interface directly with the underlying operating system 902 functionality (e.g., kernel 922, services 924 and/or drivers 926). The libraries 920 may include system libraries 944 (e.g., C standard library) that may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, and the like. In addition, the libraries 920 may include API libraries 946 such as media libraries (e.g., libraries to support presentation and manipulation of various media format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., an OpenGL framework that may be used to render 2D and 3D in a graphic content on a display), database libraries (e.g., SQLite that may provide various relational database functions), web libraries (e.g., WebKit that may provide web browsing functionality), and the like. The libraries 920 may also include a wide variety of other libraries 948 to provide many other APIs to the applications 916 and other software components/modules.

The frameworks/middleware 918 (also sometimes referred to as middleware) provide a higher-level common infrastructure that may be used by the applications 916 and/or other software components/modules. For example, the frameworks/middleware 918 may provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks/middleware 918 may provide a broad spectrum of other APIs that may be utilized by the applications 916 and/or other software components/modules, some of which may be specific to a particular operating system 902 or platform.

The applications 916 include built-in applications 938 and/or third-party applications 940. Examples of representative built-in applications 938 may include, but are not limited to, a contacts application, a browser application, a book reader application, a location application, a media application, a messaging application, and/or a game application. Third-party applications 940 may include an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform, and may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. The third-party applications 940 may invoke the API calls 908 provided by the mobile operating system (such as operating system 902) to facilitate functionality described herein.

The applications 916 may use built in operating system functions (e.g., kernel 922, services 924 and/or drivers 926), libraries 920, and frameworks/middleware 918 to create user interfaces to interact with users of the system. Alternatively, or additionally, in some systems interactions with a user may occur through a presentation layer, such as presentation layer 914. In these systems, the application/component “logic” can be separated from the aspects of the application/component that interact with a user.

FIG. 10 is a block diagram illustrating components of a machine 1000, according to some example embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein. Specifically, FIG. 10 shows a diagrammatic representation of the machine 1000 in the example form of a computer system, within which instructions 1010 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine 1000 to perform any one or more of the methodologies discussed herein may be executed. As such, the instructions 1010 may be used to implement modules or components described herein. The instructions 1010 transform the general, non-programmed machine 1000 into a particular machine 1000 programmed to carry out the described and illustrated functions in the manner described. In alternative embodiments, the machine 1000 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 1000 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 1000 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions 1010, sequentially or otherwise, that specify actions to be taken by machine 1000. Further, while only a single machine 1000 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions 1010 to perform any one or more of the methodologies discussed herein.

The machine 1000 may include processors 1004, memory memory/storage 1006, and I/O components 1018, which may be configured to communicate with each other such as via a bus 1002. The memory/storage 1006 may include a memory 1014, such as a main memory, or other memory storage, and a storage unit 1016, both accessible to the processors 1004 such as via the bus 1002. The storage unit 1016 and memory 1014 store the instructions 1010 embodying any one or more of the methodologies or functions described herein. The instructions 1010 may also reside, completely or partially, within the memory 1014, within the storage unit 1016, within at least one of the processors 1004 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 1000. Accordingly, the memory 1014, the storage unit 1016, and the memory of processors 1004 are examples of machine-readable media.

The I/O components 1018 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components 1018 that are included in a particular machine 1000 will depend on the type of machine. For example, portable machines such as mobile phones will likely include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 1018 may include many other components that are not shown in FIG. 10. The I/O components 1018 are grouped according to functionality merely for simplifying the following discussion and the grouping is in no way limiting. In various example embodiments, the I/O components 1018 may include output components 1026 and input components 1028. The output components 1026 may include visual components (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The input components 1028 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and/or force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.

In further example embodiments, the I/O components 1018 may include biometric components 1030, motion components 1034, environmental environment components 1036, or position components 1038 among a wide array of other components. For example, the biometric components 1030 may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram based identification), and the like. The motion components 1034 may include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environment components 1036 may include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometer that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components 1038 may include location sensor components (e.g., a Global Position system (GPS) receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies. The I/O components 1018 may include communication components 1040 operable to couple the machine 1000 to a network 1032 or devices 1020 via coupling 1022 and coupling 1024 respectively. For example, the communication components 1040 may include a network interface component or other suitable device to interface with the network 1032. In further examples, communication components 1040 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices 1020 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).

Moreover, the communication components 1040 may detect identifiers or include components operable to detect identifiers. For example, the communication components 1040 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 1040, such as, location via Internet Protocol (IP) geo-location, location via Wi-Fi® signal triangulation, location via detecting a NFC beacon signal that may indicate a particular location, and so forth.

Glossary

“CARRIER SIGNAL” in this context refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible medium to facilitate communication of such instructions. Instructions may be transmitted or received over the network using a transmission medium via a network interface device and using any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smart phones, tablets, ultra books, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard setting organizations, other long range protocols, or other data transfer technology.

“EMPHEMERAL MESSAGE” in this context refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, device or other tangible media able to store instructions and data temporarily or permanently and may include, but is not be limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage (e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or any suitable combination thereof. The term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store instructions. The term “machine-readable medium” shall also be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., code) for execution by a machine, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” refers to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity or logic having boundaries defined by function or subroutine calls, branch points, application program interfaces (APIs), or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions. Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various example embodiments, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein. A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a Field-Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In embodiments in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an Application Program Interface (API)). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the processors or processor-implemented components may be distributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values according to control signals (e.g., “commands”, “op codes”, “machine code”, etc.) and which produces corresponding output signals that are applied to operate a machine. A processor may, for example, be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC) or any combination thereof. A processor may further be a multi-core processor having two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters or encoded information identifying when a certain event occurred, for example giving date and time of day, sometimes accurate to a small fraction of a second.

“LIFT” in this context is a measure of the performance of a targeted model at predicting or classifying cases as having an enhanced response (with respect to a population as a whole), measured against a random choice targeting model. 

What is claimed is:
 1. A method comprising: detecting an initiation of a communication session at a first client device, the communication session between the first client device and a second client device; causing the first client device to capture image data that depicts a face of a user of the first client device, and audio data in response to the detecting the initiation of the communication session; generating a mesh representation of the face of the user based on the image data, the mesh representation including a point-of-gaze indicator; selecting a set of avatar features from among a collection of avatar features based on a user account associated with the first client device, the user account including an identification of the set of avatar features; generating an avatar to be associated with the user of the first client device based on the set of avatar features and the mesh representation; causing display of a communication interface at the second client device in response to the initiation of the communication session, the communication interface comprising a presentation of the avatar associated with the user of the first client device and a display of a chat transcript that comprises a plurality of messages sent during the communication session between the first client device and the second client device; orienting the presentation of the avatar associated with the user within the communication interface based on point-of-gaze indicator of the the mesh representation; transcribing the audio data to a text string; translating the text string from a first language to a second language, the second language based on a language preference associated with the second client device; and presenting the text string within the communication interface at a position based on the presentation of the avatar associated with the user.
 2. The method of claim 1, wherein the image data comprises RGB color values, and the generating the mesh representation of the face of the user based on the image data includes: parsing RGB color values from the image data; and generating the mesh representation of the face based on the RGB color values.
 3. The method of claim 1, wherein the image data comprises corneal reflection data that indicates the point of gaze of the user.
 4. The method of claim 1, wherein the selecting the avatar features further comprises: identifying a user account associated with the first client device; and associating the set of avatar features with the user account.
 5. The method of claim 1, wherein the avatar comprises a set of avatar features, and wherein the method further comprises: receiving a selection of the set of avatar features from a collection of avatar features; and associating the selection of the set of avatar features with a user account associated with the user.
 6. The method of claim 1, wherein the translating the text string from the first language to the second language includes: identifying the first language based on the user account associated with the first client device.
 7. The method of claim 1, wherein the presentation of the avatar is a first presentation of a first avatar, and wherein the method further comprises: receiving a chat request to join the communication session with the first client device and the second client device from a third client device; causing display of a second presentation of a second avatar that represents the third user within the communication interface at the second client device in response to the receiving the chat request; and adjusting a size of the first presentation of the first avatar and the second presentation of the second avatar in response to the causing display of the second presentation of the second avatar within the communication interface at the second client device.
 8. The method of claim 1, wherein the image data is captured by a camera of the first client device, and the method further comprises: detecting a deactivation of the camera at the first client device; and removing the avatar associated with the user in response to the detecting the deactivation of the camera.
 9. The method of claim 1, wherein the method further comprises: comparing the mesh representation of the face of the user to a reference mesh, the reference mesh depicting a facial expression; and wherein the animating the presentation of the avatar is based on the mesh representation and the facial expression.
 10. The method of claim 1, wherein the presentation of the avatar associated with the user is at a location within the communication interface, and wherein the method further comprises: detecting movement of the face of the user based on the image data; dynamically changing the location of the presentation of the avatar based on the movement of the face of the user.
 11. The method of claim 1, wherein the mesh representation of the face of the user depicts a facial expression of the user.
 12. The method of claim 1, wherein the animating the presentation of the avatar associated with the user based on the mesh representation of the face of the user includes: authenticating the user based on the image data; and animating the presentation of the avatar in response to the authenticating the user based on the image data.
 13. A system comprising: a memory; and at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising: detecting an initiation of a communication session at a first client device, the communication session between the first client device and a second client device; causing the first client device to capture image data that depicts a face of a user of the first client device, and audio data in response to the detecting the initiation of the communication session; generating a mesh representation of the face of the user based on the image data, the mesh representation including a point-of-gaze indicator; selecting a set of avatar features from among a collection of avatar features based on a user account associated with the first client device, the user account including an identification of the set of avatar features; generating an avatar to be associated with the user of the first client device based on the set of avatar features and the mesh representation; causing display of a communication interface at the second client device in response to the initiation of the communication session, the communication interface comprising a presentation of the avatar associated with the user of the first client device and a display of a chat transcript that comprises a plurality of messages sent during the communication session between the first client device and the second client device; orienting the presentation of the avatar associated with the user within the communication interface based on point-of-gaze indicator of the the mesh representation; transcribing the audio data to a text string; translating the text string from a first language to a second language, the second language based on a language preference associated with the second client device; and presenting the text string within the communication interface at a position based on the presentation of the avatar associated with the user.
 14. The system of claim 13, wherein the image data comprises RGB color values, and the generating the mesh representation of the face of the user based on the image data includes: parsing RGB color values from the image data; and generating the mesh representation of the face based on the RGB color values.
 15. The system of claim 13, wherein the image data comprises corneal reflection data that indicates the point of gaze of the user.
 16. The system of claim 13, wherein the selecting the set of avatar features further comprises: identifying a user account associated with the first client device; and associating the set of avatar features with the user account.
 17. The system of claim 13, wherein the avatar comprises a set of avatar features, and wherein the operations cause the system to perform operations further comprising: receiving a selection of the set of avatar features from a collection of avatar features; and associating the selection of the set of avatar features with a user account associated with the user.
 18. The system of claim 13, wherein the translating the text string from the first language to the second language includes: identifying the first language based on the user account associated with the first client device.
 19. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: detecting an initiation of a communication session at a first client device, the communication session between the first client device and a second client device; causing the first client device to capture image data that depicts a face of a user of the first client device, and audio data in response to the detecting the initiation of the communication session; generating a mesh representation of the face of the user based on the image data, the mesh representation including a point-of-gaze indicator; selecting a set of avatar features from among a collection of avatar features based on a user account associated with the first client device, the user account including an identification of the set of avatar features; generating an avatar to be associated with the user of the first client device based on the set of avatar features and the mesh representation; causing display of a communication interface at the second client device in response to the initiation of the communication session, the communication interface comprising a presentation of the avatar associated with the user of the first client device and a display of a chat transcript that comprises a plurality of messages sent during the communication session between the first client device and the second client device; orienting the presentation of the avatar associated with the user within the communication interface based on point-of-gaze indicator of the the mesh representation; transcribing the audio data to a text string; translating the text string from a first language to a second language, the second language based on a language preference associated with the second client device; and presenting the text string within the communication interface at a position based on the presentation of the avatar associated with the user. 